{"id":"W3080415720","doi":"10.1021/acsbiomaterials.0c00713","title":"Comparative Animal Mucomics: Inspiration for Functional Materials from Ubiquitous and Understudied Biopolymers","year":2020,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Air Force Office of Scientific Research; National Institute on Minority Health and Health Disparities; Division of Integrative Organismal Systems; Natural Sciences and Engineering Research Council of Canada; Norges Forskningsråd; Deutsche Forschungsgemeinschaft; Vicerrectoría de Investigación, Universidad de Costa Rica; Wellcome; Royal Society; City University of New York; Division of Ocean Sciences; Wellcome Trust; Camille and Henry Dreyfus Foundation","keywords":"Mucus; Function (biology); Structure function; Nanotechnology; Biology; Computational biology; Computer science; Evolutionary biology; Ecology; Materials science; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001783894,0.0004031774,0.0005119035,0.001227627,0.0005316898,0.001414518,0.0004907456,0.0007067285,0.001251194],"category_scores_gemma":[0.001505438,0.0002822369,0.0004752897,0.001086518,0.001075252,0.001954024,0.001198891,0.001428944,0.000366966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004475218,"about_ca_system_score_gemma":0.0005136814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000345984,"about_ca_topic_score_gemma":0.00103561,"domain_scores_codex":[0.9996623,0.0001126665,0.00002630203,0.00009316,0.00007936688,0.00002618135],"domain_scores_gemma":[0.9994299,0.0002125182,0.0001098932,0.0001255505,0.00005967275,0.00006247416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001290842,0.00003718691,0.003084035,0.0007169389,0.00007135702,0.0001458094,0.0003512312,0.0007067352,0.9145228,0.02007813,0.0006495983,0.05950709],"study_design_scores_gemma":[0.00004630798,0.000757574,0.06304327,0.000852118,0.0002959294,0.001551278,0.001358535,0.0125415,0.6478139,0.08002103,0.1915877,0.0001307629],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3648548,0.04199274,0.5678526,0.005408439,0.0004563704,0.0002594489,0.003466707,0.0009252149,0.01478366],"genre_scores_gemma":[0.4361138,0.02269022,0.5325935,0.001750771,0.0002121979,0.0002511142,0.003156639,0.0003907598,0.002840899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001783894,"threshold_uncertainty_score":0.009434223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05099934074692264,"score_gpt":0.2644903837371588,"score_spread":0.2134910429902362,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}